Top Data & Analytics Jobs in Pittsburgh, PA

The Business Intelligence Partner Analyst conducts requirement analysis, designs data warehouse architecture, and develops BI products while supporting users and improving processes.

The Senior Vice President of People Metrics and Analytics will drive organizational insights by analyzing employee data, leveraging AI methodologies, and collaborating with teams to enhance workforce engagement and effectiveness.

The GIS Solutions Analyst will develop, optimize, and manage spatial databases and geoprocessing tools, ensuring integration and performance of geospatial systems in autonomous driving technologies.

The Quantitative Analyst II develops complex financial models for product lifecycle management, utilizes programming languages for data analysis, and collaborates with stakeholders to improve financial strategies and compliance.

The Data Review Analyst reviews and annotates AV data, categorizes events, and generates reports by collaborating with various teams.

The Business Development Technology Analyst combines technical skills with business acumen to enhance decision-making through analytics, AI integration, and dashboard development across departments.

The Business Analyst will support Enrollment Management by analyzing processes, recommending improvements, and ensuring data integrity using Technolutions Slate. Responsibilities include monitoring automated processes, collaborating with stakeholders, and conducting system testing.

Design, implement, and operationalize an enterprise data governance framework. Lead governance councils, define stewardship and metadata practices, ensure regulatory compliance, integrate AI governance, monitor KPIs, and drive adoption across business, technology, risk, and compliance.

The Knowledge Engineer will develop and maintain ontologies and taxonomies, collaborate to create semantic models, and establish metadata standards for effective data usage in defense acquisition.

As a Data Engineering Intern, you'll assist in data hygiene projects, automate processes, and support machine learning pipelines, gaining hands-on experience in data analysis.